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Usage Information

mTOR inhibition overcomes RSK3-mediated resistance to BET inhibitors in small cell lung cancer
Anju Kumari, … , David S. Schrump, Haobin Chen
Anju Kumari, … , David S. Schrump, Haobin Chen
Published March 8, 2023
Citation Information: JCI Insight. 2023;8(5):e156657. https://doi.org/10.1172/jci.insight.156657.
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Research Article Oncology

mTOR inhibition overcomes RSK3-mediated resistance to BET inhibitors in small cell lung cancer

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Abstract

Small cell lung cancer (SCLC) is a recalcitrant malignancy with limited treatment options. Bromodomain and extraterminal domain inhibitors (BETis) have shown promising preclinical activity in SCLC, but the broad sensitivity spectrum limits their clinical prospects. Here, we performed unbiased high-throughput drug combination screens to identify therapeutics that could augment the antitumor activities of BETis in SCLC. We found that multiple drugs targeting the PI-3K–AKT–mTOR pathway synergize with BETis, among which mTOR inhibitors (mTORis) show the highest synergy. Using various molecular subtypes of the xenograft models derived from patients with SCLC, we confirmed that mTOR inhibition potentiates the antitumor activities of BETis in vivo without substantially increasing toxicity. Furthermore, BETis induce apoptosis in both in vitro and in vivo SCLC models, and this antitumor effect is further amplified by combining mTOR inhibition. Mechanistically, BETis induce apoptosis in SCLC by activating the intrinsic apoptotic pathway. However, BET inhibition leads to RSK3 upregulation, which promotes survival by activating the TSC2-mTOR-p70S6K1-BAD cascade. mTORis block this protective signaling and augment the apoptosis induced by BET inhibition. Our findings reveal a critical role of RSK3 induction in tumor survival upon BET inhibition and warrant further evaluation of the combination of mTORis and BETis in patients with SCLC.

Authors

Anju Kumari, Lisa Gesumaria, Yan-Jin Liu, V. Keith Hughitt, Xiaohu Zhang, Michele Ceribelli, Kelli M. Wilson, Carleen Klumpp-Thomas, Lu Chen, Crystal McKnight, Zina Itkin, Craig J. Thomas, Beverly A. Mock, David S. Schrump, Haobin Chen

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Usage data is cumulative from March 2023 through May 2023.

Usage JCI PMC
Text version 1,955 27
PDF 416 5
Figure 242 0
Supplemental data 209 0
Citation downloads 57 0
Totals 2,879 32
Total Views 2,911

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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